Skip to main content

PHD STUDENT POSITION ON ANTARCTIC VEGETATION ECOLOGY AND REMOTE SENSING Vrije Universiteit Amsterdam. 4 research positions





PHD STUDENT POSITION ON ANTARCTIC VEGETATION ECOLOGY AND REMOTE SENSING Vrije Universiteit Amsterdam


4 research positions (2 PhDs and 2 postdocs) will be available at the Department of Ecological Science, for the research project entitled "The Antarctic biota count (ABC): a functional trait-based approach to scale biodiversity from plot to region'', funded by the Netherlands Polar Program (NWO).

Locatie: AMSTERDAM
FTE: 1
JOB DESCRIPTION
The aim of this work package is to quantify the cover of dominant cryptogam groups along the Antarctic Peninsula region. A central question within this package is: 'How much vegetation cover is there along the Antarctic Peninsula?' By linking surveys of vegetation type and cover to remote sensing methods we aim to scale plot measurements to the entire Antarctic Peninsula region. To unravel the mechanism behind species specific reflectance spectra, the intended PhD will also work on physiological aspects and characteristics of the main cryptogam (lichen and moss) groups.

Your duties
Quantify cover of dominant cryptogam groups at various field sites along the Antarctic Peninsula. Use remote sensing techniques to scale plot measurements to regional cover of dominant cryptogam groups along the Antarctic Peninsula
Unravel the morphological/physiological mechanisms behind cryptogam specific reflectance spectra
Make vegetation maps of dominant cryptogam groups along the Antarctic Peninsula
The applicant will present the results at national and international conferences, and contribute to teaching courses
Write four peer-reviewed publications that will be the basis of the PhD thesis
REQUIREMENTS
MSc in Ecological Sciences or comparable, with relevant research experience
Experience with cryptogam ecology/identification is a plus
Experience with remote sensing methods or willingness to learn this
Willingness and physical ability to work in cold and remote Antarctic regions for 2-5 months/year
Proficiency with statistical approaches and use of R
Excellent social skills to work in an interdisciplinary international research team
English language proficiency both in speech and in writing. Please provide evidence for the latter.
WHAT ARE WE OFFERING?
A challenging position in a socially involved organization. The salary will be in accordance with university regulations for academic personnel and amounts €2,395 (PhD) per month during the first year and increases to €3,061 (PhD) per month during the fourth year, based on a full-time employment. The job profile: is based on the university job ranking system and is vacant for at least 1 FTE.

The appointment will initially be for 1 year. After a satisfactory evaluation of the initial appointment, the contract will be extended for a total duration of 4 years.
Additionally, Vrije Universiteit Amsterdam offers excellent fringe benefits and various schemes and regulations to promote a good work/life balance, such as:
a maximum of 41 days of annual leave based on full-time employment
8% holiday allowance and 8.3% end-of-year bonus
a wide range of sports facilities which staff may use at a modest charge
ABOUT VRIJE UNIVERSITEIT AMSTERDAM
The ambition of Vrije Universiteit Amsterdam is clear: to contribute to a better world through outstanding education and ground-breaking research. We strive to be a university where personal development and commitment to society play a leading role. A university where people from different disciplines and backgrounds collaborate to achieve innovations and to generate new knowledge. Our teaching and research encompass the entire spectrum of academic endeavour – from the humanities, the social sciences and the natural sciences through to the life sciences and the medical sciences.

Vrije Universiteit Amsterdam is home to more than 26,000 students. We employ over 4,600 individuals. The VU campus is easily accessible and located in the heart of Amsterdam's Zuidas district, a truly inspiring environment for teaching and research.

Diversity
We are an inclusive university community. Diversity is one of our most important values. We believe that engaging in international activities and welcoming students and staff from a wide variety of backgrounds enhances the quality of our education and research. We are always looking for people who can enrich our world with their own unique perspectives and experiences.

The Faculty of Science
The Faculty of Science inspires researchers and students to find sustainable solutions for complex societal issues. From forest fires to big data, from obesity to medicines and from molecules to the moon: our teaching and research programmes cover the full spectrum of the natural sciences. We share knowledge and experience with leading research institutes and industries, both here in the Netherlands and abroad.

Working at the Faculty of Science means working with students, PhD candidates and researchers, all with a clear focus on their field and a broad view of the world. We employ more than 1,250 staff members, and we are home to around 6,000 students.
About the department, institute, project
The Department of Ecological Science (DES) answers fundamental ecological and evolutionary questions regarding the relationship between organisms and their environment at the full array of hierarchical levels: from molecular ecology to ecosystem research. The department comprises a dynamic community of researchers and provides an excellent research environment with state-of-the-art facilities and high quality training.

The overall aim of this project is to deliver spatially explicit data on terrestrial biodiversity along the Antarctic Peninsula for evidence-based systematic conservation planning. Each research position has its own objectives but by combining the data from each work package, we aim to deliver a comprehensive status of the current vegetation and associated biodiversity patterns. This will form a data-driven approach to Antarctic conservation planning and provide a baseline to which future changes can be monitored. The project will be run in close collaboration with the British Antarctic Survey (UK), University of Birmingham (UK) and the University of Insubria (Italy).
APPLICATION
Are you interested in this position? Applicants are requested to write a letter in which they describe their abilities and motivation, accompanied by a curriculum vitae and the names of one or two references. Applications (mention the vacancy number) should be sent before November 10th, 2020 to the attention of Prof. Dr. Hans Cornelissen.

Applications received by e-mail will not be processed.

Vacancy questions
If you have any questions regarding this vacancy, you may contact:

Name: Prof.dr. J.H.C. (Hans) Cornelissen
or
Name: Dr. S.F. (Stef) Bokhorst
Phone number +31 (0)20 5987078 




Vineesh V
Assistant Professor of Geography,
Directorate of Education,
Government of Kerala.
https://www.facebook.com/Applied.Geography
http://geogisgeo.blogspot.com

Comments

Post a Comment

Popular posts from this blog

Accuracy Assessment

Accuracy assessment is the process of checking how correct your classified satellite image is . 👉 After supervised classification, the satellite image is divided into classes like: Water Forest Agriculture Built-up land Barren land But classification is done using computer algorithms, so some areas may be wrongly classified . 👉 Accuracy assessment helps to answer this question: ✔ "How much of my classified map is correct compared to real ground conditions?"  Goal The main goal is to: Measure reliability of classified maps Identify classification errors Improve classification results Provide scientific validity to research 👉 Without accuracy assessment, a classified map is not considered scientifically reliable . Reference Data (Ground Truth Data) Reference data is real-world information used to check classification accuracy. It can be collected from: ✔ Field survey using GPS ✔ High-resolution satellite images (Google Earth etc.) ✔ Existing maps or survey reports 🧭 Exampl...
Post a Comment
Read more

Change Detection

Change detection is the process of finding differences on the Earth's surface over time by comparing satellite images of the same area taken on different dates . After supervised classification , two classified maps (e.g., Year-1 and Year-2) are compared to identify land use / land cover changes .  Goal To detect where , what , and how much change has occurred To monitor urban growth, deforestation, floods, agriculture, etc.  Basic Concept Forest → Forest = No change Forest → Urban = Change detected Key Terminologies Multi-temporal images : Images of the same area at different times Post-classification comparison : Comparing two classified maps Change matrix : Table showing class-to-class change Change / No-change : Whether land cover remains same or different Main Methods Post-classification comparison – Most common and easy Image differencing – Subtract pixel values Image ratioing – Divide pixel values Deep learning methods – Advanced AI-based detection Examples Agricult...
Post a Comment
Read more

Landsat 8 Band designation and Band Combination.

Landsat 8 Band designation and Band Combination.  Landsat 8-9 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) Bands Wavelength (micrometers) Resolution (meters) Band 1 - Coastal aerosol 0.43-0.45 30 Band 2 - Blue 0.45-0.51 30 Band 3 - Green 0.53-0.59 30 Band 4 - Red 0.64-0.67 30 Band 5 - Near Infrared (NIR) 0.85-0.88 30 Band 6 - SWIR 1 1.57-1.65 30 Band 7 - SWIR 2 2.11-2.29 30 Band 8 - Panchromatic 0.50-0.68 15 Band 9 - Cirrus 1.36-1.38 30 Band 10 - Thermal Infrared (TIRS) 1 10.6-11.19 100 Band 11 - Thermal Infrared (TIRS) 2 11.50-12.51 100 Vineesh V Assistant Professor of Geography, Directorate of Education, Government of Kerala. https://www.facebook.com/Applied.Geography http://geogisgeo.blogspot.com
1 comment
Read more

Landsat band composition

Short-Wave Infrared (7, 6 4) The short-wave infrared band combination uses SWIR-2 (7), SWIR-1 (6), and red (4). This composite displays vegetation in shades of green. While darker shades of green indicate denser vegetation, sparse vegetation has lighter shades. Urban areas are blue and soils have various shades of brown. Agriculture (6, 5, 2) This band combination uses SWIR-1 (6), near-infrared (5), and blue (2). It's commonly used for crop monitoring because of the use of short-wave and near-infrared. Healthy vegetation appears dark green. But bare earth has a magenta hue. Geology (7, 6, 2) The geology band combination uses SWIR-2 (7), SWIR-1 (6), and blue (2). This band combination is particularly useful for identifying geological formations, lithology features, and faults. Bathymetric (4, 3, 1) The bathymetric band combination (4,3,1) uses the red (4), green (3), and coastal bands to peak into water. The coastal band is useful in coastal, bathymetric, and aerosol studies because...
Post a Comment
Read more

Geographic phenomena fields objects boundaries.

In geography, geographic phenomena refer to features or processes that can be observed and studied on Earth's surface. These phenomena can be classified into three main categories: fields , objects , and boundaries . Each category has distinct characteristics, representations, and applications in Geographic Information Systems (GIS). 1. Fields A field represents continuous, spatially varying data where a value is present at every location within the study area. It describes conditions that exist across a geographic area. Characteristics : Continuity : Fields have no discrete boundaries; the data is continuous. Gradual Variability : The values of a field change gradually across space. Representation : Typically modeled using raster data in GIS, where a grid structure assigns a value (e.g., temperature or elevation) to each cell. Examples : Temperature Map : Shows temperature variation across a region. Rainfall Distribution : Displays rainfall levels over a large g...
Post a Comment
Read more